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Multi-ancestry Polygenic Mechanisms of Type 2 Diabetes Elucidate Disease Processes and Clinical Heterogeneity
We identified genetic subtypes of type 2 diabetes (T2D) by analyzing genetic data from diverse groups, including non-European populations. We implemented soft clustering with 650 T2D-associated genetic variants, capturing known and novel T2D subtypes with distinct cardiometabolic trait associations....
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602111/ https://www.ncbi.nlm.nih.gov/pubmed/37886436 http://dx.doi.org/10.21203/rs.3.rs-3399145/v1 |
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author | Smith, Kirk Deutsch, Aaron J. McGrail, Carolyn Kim, Hyunkyung Hsu, Sarah Mandla, Ravi Schroeder, Philip H. Westerman, Kenneth E. Szczerbinski, Lukasz Majarian, Timothy D. Kaur, Varinderpal Williamson, Alice Claussnitzer, Melina Florez, Jose C. Manning, Alisa K. Mercader, Josep M. Gaulton, Kyle J. Udler, Miriam S. |
author_facet | Smith, Kirk Deutsch, Aaron J. McGrail, Carolyn Kim, Hyunkyung Hsu, Sarah Mandla, Ravi Schroeder, Philip H. Westerman, Kenneth E. Szczerbinski, Lukasz Majarian, Timothy D. Kaur, Varinderpal Williamson, Alice Claussnitzer, Melina Florez, Jose C. Manning, Alisa K. Mercader, Josep M. Gaulton, Kyle J. Udler, Miriam S. |
author_sort | Smith, Kirk |
collection | PubMed |
description | We identified genetic subtypes of type 2 diabetes (T2D) by analyzing genetic data from diverse groups, including non-European populations. We implemented soft clustering with 650 T2D-associated genetic variants, capturing known and novel T2D subtypes with distinct cardiometabolic trait associations. The twelve genetic clusters were distinctively enriched for single-cell regulatory regions. Polygenic scores derived from the clusters differed in distribution between ancestry groups, including a significantly higher proportion of lipodystrophy-related polygenic risk in East Asian ancestry. T2D risk was equivalent at a BMI of 30 kg/m(2) in the European subpopulation and 24.2 (22.9–25.5) kg/m(2) in the East Asian subpopulation; after adjusting for cluster-specific genetic risk, the equivalent BMI threshold increased to 28.5 (27.1–30.0) kg/m(2) in the East Asian group, explaining about 75% of the difference in BMI thresholds. Thus, these multi-ancestry T2D genetic subtypes encompass a broader range of biological mechanisms and help explain ancestry-associated differences in T2D risk profiles. |
format | Online Article Text |
id | pubmed-10602111 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-106021112023-10-27 Multi-ancestry Polygenic Mechanisms of Type 2 Diabetes Elucidate Disease Processes and Clinical Heterogeneity Smith, Kirk Deutsch, Aaron J. McGrail, Carolyn Kim, Hyunkyung Hsu, Sarah Mandla, Ravi Schroeder, Philip H. Westerman, Kenneth E. Szczerbinski, Lukasz Majarian, Timothy D. Kaur, Varinderpal Williamson, Alice Claussnitzer, Melina Florez, Jose C. Manning, Alisa K. Mercader, Josep M. Gaulton, Kyle J. Udler, Miriam S. Res Sq Article We identified genetic subtypes of type 2 diabetes (T2D) by analyzing genetic data from diverse groups, including non-European populations. We implemented soft clustering with 650 T2D-associated genetic variants, capturing known and novel T2D subtypes with distinct cardiometabolic trait associations. The twelve genetic clusters were distinctively enriched for single-cell regulatory regions. Polygenic scores derived from the clusters differed in distribution between ancestry groups, including a significantly higher proportion of lipodystrophy-related polygenic risk in East Asian ancestry. T2D risk was equivalent at a BMI of 30 kg/m(2) in the European subpopulation and 24.2 (22.9–25.5) kg/m(2) in the East Asian subpopulation; after adjusting for cluster-specific genetic risk, the equivalent BMI threshold increased to 28.5 (27.1–30.0) kg/m(2) in the East Asian group, explaining about 75% of the difference in BMI thresholds. Thus, these multi-ancestry T2D genetic subtypes encompass a broader range of biological mechanisms and help explain ancestry-associated differences in T2D risk profiles. American Journal Experts 2023-10-09 /pmc/articles/PMC10602111/ /pubmed/37886436 http://dx.doi.org/10.21203/rs.3.rs-3399145/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Smith, Kirk Deutsch, Aaron J. McGrail, Carolyn Kim, Hyunkyung Hsu, Sarah Mandla, Ravi Schroeder, Philip H. Westerman, Kenneth E. Szczerbinski, Lukasz Majarian, Timothy D. Kaur, Varinderpal Williamson, Alice Claussnitzer, Melina Florez, Jose C. Manning, Alisa K. Mercader, Josep M. Gaulton, Kyle J. Udler, Miriam S. Multi-ancestry Polygenic Mechanisms of Type 2 Diabetes Elucidate Disease Processes and Clinical Heterogeneity |
title | Multi-ancestry Polygenic Mechanisms of Type 2 Diabetes Elucidate Disease Processes and Clinical Heterogeneity |
title_full | Multi-ancestry Polygenic Mechanisms of Type 2 Diabetes Elucidate Disease Processes and Clinical Heterogeneity |
title_fullStr | Multi-ancestry Polygenic Mechanisms of Type 2 Diabetes Elucidate Disease Processes and Clinical Heterogeneity |
title_full_unstemmed | Multi-ancestry Polygenic Mechanisms of Type 2 Diabetes Elucidate Disease Processes and Clinical Heterogeneity |
title_short | Multi-ancestry Polygenic Mechanisms of Type 2 Diabetes Elucidate Disease Processes and Clinical Heterogeneity |
title_sort | multi-ancestry polygenic mechanisms of type 2 diabetes elucidate disease processes and clinical heterogeneity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602111/ https://www.ncbi.nlm.nih.gov/pubmed/37886436 http://dx.doi.org/10.21203/rs.3.rs-3399145/v1 |
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